OpenAI API client library for Rust (unofficial)

The OpenAI API client Rust library provides convenient access to the OpenAI API from Rust applications.

Check out the docs.rs.

Installation:

Cargo.toml

[dependencies]
openai-api-rs = "10.0.1"

Usage

The library needs to be configured with your account's secret key, which is available on the website. We recommend setting it as an environment variable. Here's an example of initializing the library with the API key loaded from an environment variable and creating a completion:

Set OPENAI_API_KEY or OPENROUTER_API_KEY to environment variable

$ export OPENAI_API_KEY=sk-xxxxxxx
or
$ export OPENROUTER_API_KEY=sk-xxxxxxx

Create OpenAI client

let api_key = env::var("OPENAI_API_KEY").unwrap().to_string();
let mut client = OpenAIClient::builder().with_api_key(api_key).build()?;

Create OpenRouter client

let api_key = env::var("OPENROUTER_API_KEY").unwrap().to_string();
let mut client = OpenAIClient::builder()
    .with_endpoint("https://openrouter.ai/api/v1")
    .with_api_key(api_key)
    .build()?;

Create request

let req = ChatCompletionRequest::new(
    GPT4_O.to_string(),
    vec![chat_completion::ChatCompletionMessage {
        role: chat_completion::MessageRole::user,
        content: chat_completion::Content::Text(String::from("What is bitcoin?")),
        name: None,
        tool_calls: None,
        tool_call_id: None,
    }],
);

Send request

let result = client.chat_completion(req)?;
println!("Content: {:?}", result.choices[0].message.content);

for (key, value) in client.headers.unwrap().iter() {
    println!("{}: {:?}", key, value);
}

Set OPENAI_API_BASE to environment variable (optional)

$ export OPENAI_API_BASE=https://api.openai.com/v1

Example of chat completion

use openai_api_rs::v1::api::OpenAIClient;
use openai_api_rs::v1::chat_completion::{self, ChatCompletionRequest};
use openai_api_rs::v1::common::GPT4_O;
use std::env;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let api_key = env::var("OPENAI_API_KEY").unwrap().to_string();
    let mut client = OpenAIClient::builder().with_api_key(api_key).build()?;

    let req = ChatCompletionRequest::new(
        GPT4_O.to_string(),
        vec![chat_completion::ChatCompletionMessage {
            role: chat_completion::MessageRole::user,
            content: chat_completion::Content::Text(String::from("What is bitcoin?")),
            name: None,
            tool_calls: None,
            tool_call_id: None,
        }],
    );

    let result = client.chat_completion(req).await?;
    println!("Content: {:?}", result.choices[0].message.content);

    for (key, value) in client.headers.unwrap().iter() {
        println!("{}: {:?}", key, value);
    }

    Ok(())
}

Example for OpenRouter

use openai_api_rs::v1::api::OpenAIClient;
use openai_api_rs::v1::chat_completion::{self, ChatCompletionRequest};
use openai_api_rs::v1::common::GPT4_O_MINI;
use std::env;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let api_key = env::var("OPENROUTER_API_KEY").unwrap().to_string();
    let mut client = OpenAIClient::builder()
        .with_endpoint("https://openrouter.ai/api/v1")
        .with_api_key(api_key)
        .build()?;

    let req = ChatCompletionRequest::new(
        GPT4_O_MINI.to_string(),
        vec![chat_completion::ChatCompletionMessage {
            role: chat_completion::MessageRole::user,
            content: chat_completion::Content::Text(String::from("What is bitcoin?")),
            name: None,
            tool_calls: None,
            tool_call_id: None,
        }],
    );

    let result = client.chat_completion(req).await?;
    println!("Content: {:?}", result.choices[0].message.content);

    for (key, value) in client.headers.unwrap().iter() {
        println!("{}: {:?}", key, value);
    }

    Ok(())
}

More Examples: examples

Check out the full API documentation for examples of all the available functions.

Supported APIs

• [x] Completions
• [x] Chat
• [x] Edits
• [x] Images
• [x] Embeddings
• [x] Audio
• [x] Files
• [x] Fine-tuning
• [x] Moderations
• [x] Function calling
• [x] Assistants
• [x] Batch
• [x] Realtime
• [x] Responses

License

This project is licensed under MIT license.